An Approach to Blind Source Separation Based on Temporal Structure of Speech Signals

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2 Citations (Scopus)

Abstract

In this paper, we introduce a new technique for blind source separation of speech signals. We focus on the temporal structure of the signals in contrast with most other major approaches to this problem. The idea is to apply the decorrelation method proposed by Molgedey and Schuster in the time-frequency domain. We show some results of experiments with both artificially controlled data and speech data recorded in the real environment.

Original languageEnglish
Number of pages1
JournalIEEE Transactions on Signal Processing
Volume46
Issue number9
Publication statusPublished - 1998 Dec 1
Externally publishedYes

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Blind source separation
Experiments

ASJC Scopus subject areas

  • Signal Processing
  • Electrical and Electronic Engineering

Cite this

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title = "An Approach to Blind Source Separation Based on Temporal Structure of Speech Signals",
abstract = "In this paper, we introduce a new technique for blind source separation of speech signals. We focus on the temporal structure of the signals in contrast with most other major approaches to this problem. The idea is to apply the decorrelation method proposed by Molgedey and Schuster in the time-frequency domain. We show some results of experiments with both artificially controlled data and speech data recorded in the real environment.",
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